Technical Architect
Mindlance
Job Description
Job Description
- Schedule: Monday through Friday, 40 hours per week; overtime is not expected
- Work arrangement: Hybrid, with three on-site days per week Tuesday, Wednesday, and Thursday (Will consider remote but on-site preferred)
- Location/site: AP4
- Workforce designation: Onshore
- Travel: None expected
- Relocation: Not available
Technical Architect, Agentic Biomedical Research Platform
About the Role
Client s IR Scientific and Cloud Computing team is seeking a Technical Architect to help bring agentic biomedical research software into Client s AWS environment and explore how it can interoperate with other research tools.
You ll help shape the technical vision and architecture for a platform supporting AI-driven biomedical research across Client s R&D pipeline. Working with research scientists, engineering teams, and business stakeholders, you ll translate scientific needs into scalable, secure, and dependable cloud solutions. This role is suited to a self-starter who can work through ambiguity, take initiatives from concept to production, and communicate complex technical concepts clearly to technical and non-technical audiences.
What You ll Do
- Lead the technical architecture and implementation of an agentic biomedical research platform in Client s AWS environment.
- Facilitate the onboarding of biomedical research software and assess interoperability with other tools and platforms.
- Partner with scientists, engineers, and business stakeholders to understand needs and translate them into technical solutions.
- Design and support cloud and hybrid high-performance computing (HPC) solutions.
- Deploy and manage containerized workloads on Amazon EKS and Amazon ECS, using GitOps-based delivery practices.
- Address architecture needs across networking, security, identity, provisioning, storage, autoscaling, workload placement, and lifecycle operations.
- Implement monitoring and observability for cloud and containerized workloads, including metrics, dashboards, and alerting.
- Apply infrastructure-as-code, scripting, automation, and DevOps practices to support reliable operations and cost management.
- Explain architectural decisions, trade-offs, and technical concepts to a range of stakeholders.
Required Qualifications
- Master s degree and at least 5 years of relevant experience, or bachelor s degree and at least 7 years of relevant experience.
- Strong understanding of AWS cloud services, with hands-on experience with services such as:
- Amazon Elastic Container Service (ECS) and Amazon Elastic Kubernetes Service (EKS)
- Elastic Load Balancing, including Application Load Balancers
- Amazon S3, Amazon DocumentDB, Amazon Bedrock, and Amazon FSx
- Strong knowledge of Docker and Kubernetes, including deploying and managing workloads on EKS and ECS.
- Experience with GitOps-based continuous delivery using Argo CD.
- Experience implementing monitoring and observability for cloud and containerized workloads using tools such as Prometheus and Grafana.
- Experience architecting cloud and hybrid HPC solutions, including networking, security, identity, provisioning, storage, autoscaling, infrastructure as code, workload placement, cost management, monitoring, and lifecycle operations.
- Strong scripting, automation, and DevOps skills.
- Ability to work independently while collaborating effectively across scientific, engineering, and business teams.
- Strong written and verbal communication skills.
Preferred Qualifications
- AWS certification, such as AWS Solutions Architect or AWS DevOps.
- Knowledge of biomedical research.
- Experience with agentic development.
- Experience in the pharmaceutical, healthcare, or another regulated industry.
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